Ecological Niche Modeling of Invasive Amphibians

Authors

  • Elena Novak Department of Machine Learning, Western Europe Data Science University, Madrid, Spain Author

Keywords:

IAS Regulation, biosecurity, climate change, biological invasions, European herpetofauna, ensemble SDM, MaxEnt, Batrachochytrium dendrobatidis, Xenopus laevis, Lithobates catesbeianus, ecological niche modelling, invasive amphibians

Abstract

Invasive amphibians represent a globally significant threat to native herpetofaunal biodiversity through predation, competition, habitat modification, and pathogen transmission -- most critically the chytrid fungus Batrachochytrium dendrobatidis (Bd), which is strongly associated with the range expansion of the American bullfrog (Lithobatescatesbeianus) in Europe. This study developed ensemble ecological niche models (MaxEnt, Random Forest, BRT) for five invasive amphibian species -- Lithobates catesbeianus, Xenopus laevis, Trachemys scripta, Rana ridibunda (sensulato), and Discoglossus pictus -- in their European invasion ranges, projecting current and future (2050, 2070 under
SSP2-4.5 and SSP5-8.5) climatically suitable habitat. Ensemble models performed strongly (mean AUC = 0.91 +- 0.03; TSS = 0.78 +- 0.04). Current climatically suitable area across Europe ranged from 142,000 km2 (X. laevis) to 1,840,000 km2 (L. catesbeianus). Under SSP5-8.5 by 2070, all five species projected range expansions into currently unsuitable northern European regions (mean increase +28.4 +- 6.2% in suitable area), while simultaneously experiencing contraction in southern Mediterranean areas driven by increasing summer aridity. Overlap analysis between modelled invasive species ranges and native amphibian biodiversity hotspots (Iberian Peninsula, Balkans, Caucasus) identified 84 native amphibian species with >= 40% of their European range overlapping with current or projected invasive species habitat, constituting the highest-priority conservation conflict zones. Bd co distribution modelling confirmed significant spatial overlap between L. catesbeianus invasion front and Bd-naive native species populations across central and
eastern Europe. These results provide spatially explicit early-warning maps for biosecurity management and targeted monitoring deployment under the EU Regulation 1143/2014 on Invasive Alien Species.

Author Biography

  • Elena Novak, Department of Machine Learning, Western Europe Data Science University, Madrid, Spain

    Elena Novak
    Assistant Professor, Department of Machine Learning, Western Europe Data Science University, Madrid, Spain. Email:
    elena.novak583@yahoo.com | ORCID: 0000-9916-7453-6878-4197

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Published

2022-11-09

How to Cite

Ecological Niche Modeling of Invasive Amphibians. (2022). International Journal of Animal Biodiversity, Conservation and Systematics ( IJABC), 2(4), 17-24. https://stanfordgroup.org/index.php/IJABC/article/view/211

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